Health belief model for coronavirus infection risk determinants
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | preprint |
Idioma: | eng |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/513 |
Resumo: | OBJECTIVE: To use the advantages of a ratio scale with verbal anchors in order to measure the risk perception in the novel coronavirus infection, which causes covid-19, in a health belief model-based questionnaire, as well as its validity and reproducibility. METHOD: We used the health belief model, which explores four dimensions: perceived susceptibility (five questions), perceived severity (five questions), perceived benefits (five questions), and perceived barriers (five questions). Additionally, we included a fifth dimension, called pro-health motivation (four questions). The questions composed an electronic questionnaire disseminated by social networks for an one-week period. Answers were quantitative values of subjective representations, obtained by a psychophysically constructed scale with verbal anchors ratio (CentiMax®). Mean time for total filling was 12 minutes (standard deviation = 1.6). RESULTS: We obtained 277 complete responses to the form. One was excluded because it belonged to a participant under 18 years old. Reproducibility measures were significant for 22 of the 24 questions in our questionnaire (Cronbach’s α = 0.883). Convergent validity was attested by Spearman-Brown’s split half reliability coefficient (r = 0.882). Significant differences among groups were more intense in perceived susceptibility and severity dimensions, and less in perceived benefits and barriers. CONCLUSION: Our health belief model-based questionnaire using quantitative measures enabled the confirmation of popular beliefs about covid-19 infection risks. The advantage in our approach lays in the possibility of quickly, directly and quantitatively identifying individual belief profiles for each dimension in the questionnaire, serving as a great ally for communication processes and public health education. |
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Health belief model for coronavirus infection risk determinantsCoronavirus Infections, prevention & controlCoronavirus Infections, psychologyRisk Reduction BehaviorHealth Knowledge, Attitudes, PracticeOBJECTIVE: To use the advantages of a ratio scale with verbal anchors in order to measure the risk perception in the novel coronavirus infection, which causes covid-19, in a health belief model-based questionnaire, as well as its validity and reproducibility. METHOD: We used the health belief model, which explores four dimensions: perceived susceptibility (five questions), perceived severity (five questions), perceived benefits (five questions), and perceived barriers (five questions). Additionally, we included a fifth dimension, called pro-health motivation (four questions). The questions composed an electronic questionnaire disseminated by social networks for an one-week period. Answers were quantitative values of subjective representations, obtained by a psychophysically constructed scale with verbal anchors ratio (CentiMax®). Mean time for total filling was 12 minutes (standard deviation = 1.6). RESULTS: We obtained 277 complete responses to the form. One was excluded because it belonged to a participant under 18 years old. Reproducibility measures were significant for 22 of the 24 questions in our questionnaire (Cronbach’s α = 0.883). Convergent validity was attested by Spearman-Brown’s split half reliability coefficient (r = 0.882). Significant differences among groups were more intense in perceived susceptibility and severity dimensions, and less in perceived benefits and barriers. CONCLUSION: Our health belief model-based questionnaire using quantitative measures enabled the confirmation of popular beliefs about covid-19 infection risks. The advantage in our approach lays in the possibility of quickly, directly and quantitatively identifying individual belief profiles for each dimension in the questionnaire, serving as a great ally for communication processes and public health education.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-05-18info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/513enghttps://preprints.scielo.org/index.php/scielo/article/view/513/645Copyright (c) 2020 Marcelo Fernandes Costahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Marcelo Fernandesreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-05-18T16:28:02Zoai:ops.preprints.scielo.org:preprint/513Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-05-18T16:28:02SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Health belief model for coronavirus infection risk determinants |
title |
Health belief model for coronavirus infection risk determinants |
spellingShingle |
Health belief model for coronavirus infection risk determinants Costa, Marcelo Fernandes Coronavirus Infections, prevention & control Coronavirus Infections, psychology Risk Reduction Behavior Health Knowledge, Attitudes, Practice |
title_short |
Health belief model for coronavirus infection risk determinants |
title_full |
Health belief model for coronavirus infection risk determinants |
title_fullStr |
Health belief model for coronavirus infection risk determinants |
title_full_unstemmed |
Health belief model for coronavirus infection risk determinants |
title_sort |
Health belief model for coronavirus infection risk determinants |
author |
Costa, Marcelo Fernandes |
author_facet |
Costa, Marcelo Fernandes |
author_role |
author |
dc.contributor.author.fl_str_mv |
Costa, Marcelo Fernandes |
dc.subject.por.fl_str_mv |
Coronavirus Infections, prevention & control Coronavirus Infections, psychology Risk Reduction Behavior Health Knowledge, Attitudes, Practice |
topic |
Coronavirus Infections, prevention & control Coronavirus Infections, psychology Risk Reduction Behavior Health Knowledge, Attitudes, Practice |
description |
OBJECTIVE: To use the advantages of a ratio scale with verbal anchors in order to measure the risk perception in the novel coronavirus infection, which causes covid-19, in a health belief model-based questionnaire, as well as its validity and reproducibility. METHOD: We used the health belief model, which explores four dimensions: perceived susceptibility (five questions), perceived severity (five questions), perceived benefits (five questions), and perceived barriers (five questions). Additionally, we included a fifth dimension, called pro-health motivation (four questions). The questions composed an electronic questionnaire disseminated by social networks for an one-week period. Answers were quantitative values of subjective representations, obtained by a psychophysically constructed scale with verbal anchors ratio (CentiMax®). Mean time for total filling was 12 minutes (standard deviation = 1.6). RESULTS: We obtained 277 complete responses to the form. One was excluded because it belonged to a participant under 18 years old. Reproducibility measures were significant for 22 of the 24 questions in our questionnaire (Cronbach’s α = 0.883). Convergent validity was attested by Spearman-Brown’s split half reliability coefficient (r = 0.882). Significant differences among groups were more intense in perceived susceptibility and severity dimensions, and less in perceived benefits and barriers. CONCLUSION: Our health belief model-based questionnaire using quantitative measures enabled the confirmation of popular beliefs about covid-19 infection risks. The advantage in our approach lays in the possibility of quickly, directly and quantitatively identifying individual belief profiles for each dimension in the questionnaire, serving as a great ally for communication processes and public health education. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/513 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/513 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/513/645 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Marcelo Fernandes Costa https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Marcelo Fernandes Costa https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
dc.source.none.fl_str_mv |
reponame:SciELO Preprints instname:SciELO instacron:SCI |
instname_str |
SciELO |
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SCI |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
repository.name.fl_str_mv |
SciELO Preprints - SciELO |
repository.mail.fl_str_mv |
scielo.submission@scielo.org |
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1797047817866313728 |